Proceedings Paper

This work presents a framework for fast texture analysis in computer vision. The speedup is obtained using General-
Purpose Processing on Graphics Processing Units (GPGPU technology). For this purpose, we have selected the
following texture analysis techniques: LBP (Local Binary Patterns), LTP (Local Ternary Patterns), Laws texture kernels
and Gabor filters. GPU optimizations are compared to CPU optimizations using MMX-SSE technologies and Multicore
parallel programming. The experimental results show an important increase in the performance of the proposed
algorithms when GPGPU is used particularly for large image sizes.